MLOps Engineer required to join application development team in Oxford, England. Home working most of the time provided you are able to visit our Oxford offices as needed.
Responsibilities
Developing end-to-end ML training pipelines
Incorporate ML models in software products
Optimizing ML training and validation pipelines
Developing continuous evaluation systems
Handling hardware (GPU) deployment issues
Model tuning to optimize training times
Essential Skills
Excellent Python and software engineering skills.
Experience in using and developing MLOps tools in a challenging production environment.
Desirable Skills: C++, GPU optimization and tools
Familiarity with experiment-tracking frameworks
Cloud infrastructure and training tools
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